Cargando…

Study protocol for a prospective cohort study examining the predictive potential of dynamic symptom networks for the onset and progression of psychosis: the Mapping Individual Routes of Risk and Resilience (Mirorr) study

INTRODUCTION: Our current ability to predict the course and outcome of early psychotic symptoms is limited, hampering timely treatment. To improve our understanding of the development of psychosis, a different approach to psychopathology may be productive. We propose to reconceptualise psychopatholo...

Descripción completa

Detalles Bibliográficos
Autores principales: Booij, Sanne H, Wichers, Marieke, de Jonge, Peter, Sytema, Sjoerd, van Os, Jim, Wunderink, Lex, Wigman, Johanna T W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5781162/
https://www.ncbi.nlm.nih.gov/pubmed/29358438
http://dx.doi.org/10.1136/bmjopen-2017-019059
_version_ 1783294894782021632
author Booij, Sanne H
Wichers, Marieke
de Jonge, Peter
Sytema, Sjoerd
van Os, Jim
Wunderink, Lex
Wigman, Johanna T W
author_facet Booij, Sanne H
Wichers, Marieke
de Jonge, Peter
Sytema, Sjoerd
van Os, Jim
Wunderink, Lex
Wigman, Johanna T W
author_sort Booij, Sanne H
collection PubMed
description INTRODUCTION: Our current ability to predict the course and outcome of early psychotic symptoms is limited, hampering timely treatment. To improve our understanding of the development of psychosis, a different approach to psychopathology may be productive. We propose to reconceptualise psychopathology from a network perspective, according to which symptoms act as a dynamic, interconnected system, impacting on each other over time and across diagnostic boundaries to form symptom networks. Adopting this network approach, the Mapping Individual Routes of Risk and Resilience study aims to determine whether characteristics of symptom networks can predict illness course and outcome of early psychotic symptoms. METHODS AND ANALYSIS: The sample consists of n=100 participants aged 18–35 years, divided into four subgroups (n=4×25) with increasing levels of severity of psychopathology, representing successive stages of clinical progression. Individuals representing the initial stage have a relatively low expression of psychotic experiences (general population), whereas individuals representing the end stage are help seeking and display a psychometric expression of psychosis, putting them at ultra-high risk for transition to psychotic disorder. At baseline and 1-year follow-up, participants report their symptoms, affective states and experiences for three consecutive months in short, daily questionnaires on their smartphone, which will be used to map individual networks. Network parameters, including the strength and directionality of symptom connections and centrality indices, will be estimated and associated to individual differences in and within-individual progression through stages of clinical severity and functioning over the next 3 years. ETHICS AND DISSEMINATION: The study has been approved by the local medical ethical committee (ABR no. NL52974.042.15). The results of the study will be published in (inter)national peer-reviewed journals, presented at research, clinical and general public conferences. The results will assist in improving and fine-tuning dynamic models of psychopathology, stimulating both clinical and scientific progress. TRIAL REGISTRATION NUMBER: NTR6205; Pre-results.
format Online
Article
Text
id pubmed-5781162
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-57811622018-01-31 Study protocol for a prospective cohort study examining the predictive potential of dynamic symptom networks for the onset and progression of psychosis: the Mapping Individual Routes of Risk and Resilience (Mirorr) study Booij, Sanne H Wichers, Marieke de Jonge, Peter Sytema, Sjoerd van Os, Jim Wunderink, Lex Wigman, Johanna T W BMJ Open Mental Health INTRODUCTION: Our current ability to predict the course and outcome of early psychotic symptoms is limited, hampering timely treatment. To improve our understanding of the development of psychosis, a different approach to psychopathology may be productive. We propose to reconceptualise psychopathology from a network perspective, according to which symptoms act as a dynamic, interconnected system, impacting on each other over time and across diagnostic boundaries to form symptom networks. Adopting this network approach, the Mapping Individual Routes of Risk and Resilience study aims to determine whether characteristics of symptom networks can predict illness course and outcome of early psychotic symptoms. METHODS AND ANALYSIS: The sample consists of n=100 participants aged 18–35 years, divided into four subgroups (n=4×25) with increasing levels of severity of psychopathology, representing successive stages of clinical progression. Individuals representing the initial stage have a relatively low expression of psychotic experiences (general population), whereas individuals representing the end stage are help seeking and display a psychometric expression of psychosis, putting them at ultra-high risk for transition to psychotic disorder. At baseline and 1-year follow-up, participants report their symptoms, affective states and experiences for three consecutive months in short, daily questionnaires on their smartphone, which will be used to map individual networks. Network parameters, including the strength and directionality of symptom connections and centrality indices, will be estimated and associated to individual differences in and within-individual progression through stages of clinical severity and functioning over the next 3 years. ETHICS AND DISSEMINATION: The study has been approved by the local medical ethical committee (ABR no. NL52974.042.15). The results of the study will be published in (inter)national peer-reviewed journals, presented at research, clinical and general public conferences. The results will assist in improving and fine-tuning dynamic models of psychopathology, stimulating both clinical and scientific progress. TRIAL REGISTRATION NUMBER: NTR6205; Pre-results. BMJ Publishing Group 2018-01-21 /pmc/articles/PMC5781162/ /pubmed/29358438 http://dx.doi.org/10.1136/bmjopen-2017-019059 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Mental Health
Booij, Sanne H
Wichers, Marieke
de Jonge, Peter
Sytema, Sjoerd
van Os, Jim
Wunderink, Lex
Wigman, Johanna T W
Study protocol for a prospective cohort study examining the predictive potential of dynamic symptom networks for the onset and progression of psychosis: the Mapping Individual Routes of Risk and Resilience (Mirorr) study
title Study protocol for a prospective cohort study examining the predictive potential of dynamic symptom networks for the onset and progression of psychosis: the Mapping Individual Routes of Risk and Resilience (Mirorr) study
title_full Study protocol for a prospective cohort study examining the predictive potential of dynamic symptom networks for the onset and progression of psychosis: the Mapping Individual Routes of Risk and Resilience (Mirorr) study
title_fullStr Study protocol for a prospective cohort study examining the predictive potential of dynamic symptom networks for the onset and progression of psychosis: the Mapping Individual Routes of Risk and Resilience (Mirorr) study
title_full_unstemmed Study protocol for a prospective cohort study examining the predictive potential of dynamic symptom networks for the onset and progression of psychosis: the Mapping Individual Routes of Risk and Resilience (Mirorr) study
title_short Study protocol for a prospective cohort study examining the predictive potential of dynamic symptom networks for the onset and progression of psychosis: the Mapping Individual Routes of Risk and Resilience (Mirorr) study
title_sort study protocol for a prospective cohort study examining the predictive potential of dynamic symptom networks for the onset and progression of psychosis: the mapping individual routes of risk and resilience (mirorr) study
topic Mental Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5781162/
https://www.ncbi.nlm.nih.gov/pubmed/29358438
http://dx.doi.org/10.1136/bmjopen-2017-019059
work_keys_str_mv AT booijsanneh studyprotocolforaprospectivecohortstudyexaminingthepredictivepotentialofdynamicsymptomnetworksfortheonsetandprogressionofpsychosisthemappingindividualroutesofriskandresiliencemirorrstudy
AT wichersmarieke studyprotocolforaprospectivecohortstudyexaminingthepredictivepotentialofdynamicsymptomnetworksfortheonsetandprogressionofpsychosisthemappingindividualroutesofriskandresiliencemirorrstudy
AT dejongepeter studyprotocolforaprospectivecohortstudyexaminingthepredictivepotentialofdynamicsymptomnetworksfortheonsetandprogressionofpsychosisthemappingindividualroutesofriskandresiliencemirorrstudy
AT sytemasjoerd studyprotocolforaprospectivecohortstudyexaminingthepredictivepotentialofdynamicsymptomnetworksfortheonsetandprogressionofpsychosisthemappingindividualroutesofriskandresiliencemirorrstudy
AT vanosjim studyprotocolforaprospectivecohortstudyexaminingthepredictivepotentialofdynamicsymptomnetworksfortheonsetandprogressionofpsychosisthemappingindividualroutesofriskandresiliencemirorrstudy
AT wunderinklex studyprotocolforaprospectivecohortstudyexaminingthepredictivepotentialofdynamicsymptomnetworksfortheonsetandprogressionofpsychosisthemappingindividualroutesofriskandresiliencemirorrstudy
AT wigmanjohannatw studyprotocolforaprospectivecohortstudyexaminingthepredictivepotentialofdynamicsymptomnetworksfortheonsetandprogressionofpsychosisthemappingindividualroutesofriskandresiliencemirorrstudy